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Keywords

Data Mining Data mining Association rules Ontology driven information system Centrality visualization Breast cancer Apprentissage actif Algorithme évolutionnaire interactif Ontologies Motifs Apprentissage par projet Fouille de données Risk score Crowdfunding Motivation Breast Cancer Autonomie Choice of method Knowledge integration K-NN
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36

Laurent Brisson, Assistant Professor

Since 2007, my research has been in the field of data mining, but my research has focused on the consideration of humans at some point in the data analysis process.

Thus, for example, my work has focused on taking into account the subjective interest of a business expert in evaluating excavation models, defining scoring models to raise awareness of the risk of breast cancer in primary prevention among populations, and taking into account the feelings of users in text classification algorithms.

Currently, my work is focused on the analysis of social networks, with a particular focus on two themes: the propagation of information in these networks (where information can be a message, an opinion, a feeling, etc.) and the consideration of interactions between users taking into account their evolution over time. A scientific lock related to these subjects is to allow a business expert (security, community management or marketing expert for example) to understand and be able to use the proposed models. This is why I am now interested in the contribution of 3D visualization and collaboration around different peripherals (screens, RV headset) to propose relevant visualizations to allow these experts to have an intuitive understanding of the results proposed by data analysis algorithms.

Conference papers26 documents

  • Piriziwè Kobina, Thierry Duval, Laurent Brisson. Layout radial 3D pour la visualisation de la centralité dans les graphes. Atelier EGC-VIF 2020, Jan 2020, Bruxelles, Belgique. ⟨hal-02422512⟩
  • Piriziwè Kobina, Laurent Brisson, Thierry Duval. 3D radial layout for centrality visualization in graphs. Salento AVR 2020, 7th International Conference on Augmented Reality, Virtual Reality and Computer Graphics, Sep 2020, Lecce, Italy. ⟨hal-02880033⟩
  • Raphaël Charbey, Cécile Bothorel, Laurent Brisson. Énumération de motifs dans un graphe d'évolution de communautés. MARAMI 2020, Oct 2020, Virtual Conference, France. ⟨hal-03028901⟩
  • Inna Lyubareva, Laurent Brisson, Cécile Bothorel. Crowdfunding platform and development of online communities: empirical analysis of Ulule. L’Association Francophone de Recherche en Economie Numérique 2019, Jul 2019, La Rochelle, France. ⟨hal-02924183⟩
  • Inna Lyubareva, Laurent Brisson, Cécile Bothorel, Romain Billot. Crowdfunding platform and inter-project social network: example of Ulule. SASE 2019: Fathomless Futures: Algorithmic and Imagined, Jun 2019, New York City, United States. ⟨hal-02505858⟩
  • Reinhardt Euler, Antoine Mallégol, Mehrdad Mohammadi, Patrick Meyer, Cécile Bothorel, et al.. Using Sankey diagrams to visualize the evolution of communities. 30th European Conference on Operational Research (EURO 2019), Jun 2019, Dublin, Ireland. ⟨hal-02500728⟩
  • Raphaël Charbey, Laurent Brisson, Cécile Bothorel, Philippe Ruffieux, Serge Garlatti, et al.. Roles in social interactions: graphlets in temporal networks applied to learning analytics. COMPLEX NETWORKS 2019 : 8th International Conference on Complex Networks and their Applications, Dec 2019, Lisbon, Portugal. ⟨10.1007/978-3-030-36683-4_41⟩. ⟨hal-02317823⟩
  • Laurent Brisson, Thierry Duval, Rémi Sahl. Visualisation Immersive de Graphes en 3D pour explorer des graphes de communautés. EGC-VIF 2018, Jan 2018, Paris, France. ⟨hal-01759070⟩
  • Laurent Brisson, Marine Karmann. Le jeu de rôle dans l'enseignement supérieur pour développer l'autonomie et la motivation des étudiants. Colloque QPES : relever les défis de l’altérité dans l’enseignement supérieur, Jun 2017, Grenoble, France. ⟨hal-01697709⟩
  • Laurent Brisson, Philippe Collard, Martine Collard, Erick Stattner. Information Dissemination in scale-free networks: Profusion versus Scarcity. International Conference on Complex Networks and Their Applications (COMPLEX NETWORK), 2017, Lyon, France. pp.909-920, ⟨10.1007/978-3-319-72150-7_73⟩. ⟨hal-01637573⟩
  • Laurent Brisson. Motivation, autonomie et évaluation : un retour d'expérience en école d'ingénieur. QPES 2015 : Colloque Questions de pédagogies dans l'enseignement supérieur : Innover : pourquoi et comment ?, Jun 2015, Brest, France. pp.391 - 396. ⟨hal-01174263⟩
  • Martine Collard, Philippe Collard, Laurent Brisson, Erick Stattner. Rumor Spreading Modeling: Profusion versus Scarcity. ASONAM 2015 : IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2015, Paris, France. pp.1547 - 1554, ⟨10.1145/2808797.2809299⟩. ⟨hal-01252936⟩
  • Laurent Brisson, Jean-Claude Torrel. Opinion mining on experience feedback: A case study on smarphones reviews. RCIS 2015 : IEEE 9th International Conference on Research Challenges in Information Science, May 2015, Athens, Greece. pp.211 - 216, ⟨10.1109/RCIS.2015.7128879⟩. ⟨hal-01174237⟩
  • André Le Saout, Philippe Picouet, Laurent Brisson. Gestion de groupes multilingues dans un enseignement scientifique. QPES 2015 : 8ème Colloque Questions de pédagogies dans l'enseignement supérieur : Innover : pourquoi et comment ?, Jun 2015, Brest, France. pp.161 - 166. ⟨hal-01174264⟩
  • Emilien Gauthier, Laurent Brisson, Philippe Lenca, Françoise Clavel-Chapelon, Stéphane Ragusa. Challenges to building a platform for a breast cancer risk score. RCIS 2012: 6th International Conference on Research Challenges in Information Science, May 2012, Valencia, Spain. pp.1-10. ⟨hal-00739690⟩
  • Emilien Gauthier, Laurent Brisson, Philippe Lenca, Stéphane Ragusa. Breast cancer risk score: a data mining approach to improve readability. The International Conference on Data Mining, Jul 2011, Las Vegas, United States. pp.15 - 21. ⟨hal-00609238⟩
  • Laurent Brisson, Philippe Picouet. Etudiants et enseignants face à l'approche par compétences. Questions de pédagogie dans l'enseignement supérieur, Jun 2011, Angers, France. pp.779 - 786. ⟨hal-00623603⟩
  • Laurent Brisson, Martine Collard. An ontology driven data mining process. International Conference on Enterprise Information Systems, Jun 2008, Barcelone, Spain. pp.54-61. ⟨ird-00842979⟩
  • Denis Pallez, Laurent Brisson, Thierry Baccino. Towards a human eye behaviour model by applying Data Mining Techniques on Gaze Information for IEC. HCP-2008 : Third international conference on Human Centered Processes. Vol. 1 : main conference., Jun 2008, Delft, Netherlands. pp.51 - 64. ⟨hal-02137935⟩
  • Laurent Brisson, Martine Collard, Nicolas Pasquier. Ontologie et base de connaissances pour le pré-traitement et post-traitement en fouille de données. Atelier Fouille de Données Complexe de la conférence EGC'2006 sur l'Extraction et la Gestion des Connaissances, Jan 2006, Lyon, France. pp. 13-26. ⟨hal-00362768⟩
  • Laurent Brisson. Interesting patterns extraction using prior knowledge. Discovery science, Oct 2006, Barcelona, Spain. pp.296 - 300, ⟨10.1007/11893318_30⟩. ⟨hal-02282646⟩
  • Laurent Brisson, Martine Collard, Nicolas Pasquier. Improving the knowledge discovery process using ontologies. IEEE MCD'2005 international workshop on Mining Complex Data, Nov 2005, Houston, United States. pp.25-32. ⟨hal-00363017⟩
  • Laurent Brisson, Nicolas Pasquier, Céline Hebert, Martine Collard. HASAR : mining sequential association rules for atherosclerosis risk factor analysis. Workshop in 8th PKDD conference (Principles and Practice of Knowledge Discovery in Databases), Sep 2004, Pisa, Italy. ⟨hal-02341338⟩
  • Laurent Brisson, Nicolas Pasquier, Céline Hébert, Martine Collard. HASAR: mining sequential association rules for atherosclerosis risk factor analysis. PKDD'04 Discovery Challenge on risk factors of patients with atherosclerosis co-located with the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases PKDD'04, 2004, Italy. pp.14-25. ⟨hal-00324803⟩
  • Laurent Brisson, Martine Collard, K. Le Brigand, P. Barbry. KTA: A framework for integrating expert knowledge and experiment memory in transcriptome analysis. Proceedings of OntoKDD workshop in ECML/PKDD Conference, 2004, PISE, Italy. ⟨hal-00088761⟩
  • Laurent Brisson, Martine Collard, Kevin Le Brigant, Pascal Barbry. KTA : a framework for integrating expert knowledge and experiment memory in transcriptome analysis. KDO (Knowledge Discovery and Ontologies) workshop in ECML/PKDD Conference, Sep 2004, Pisa, Italy. ⟨hal-02341339⟩

Journal articles5 documents

  • Cécile Bothorel, Laurent Brisson, Inna Lyubareva. How to Choose Community Detection Methods in Complex Networks: The Case Study of Ulule Crowdfunding Platform. Franco Angeli Journals & Series, In press, Special Issue in Computational Social Sciences. ⟨hal-03028871⟩
  • Inna Lyubareva, Laurent Brisson, Cécile Bothorel, Romain Billot. Une plateforme de crowdfunding et son réseau social : L'exemple Ulule. Revue Française de Gestion, Lavoisier, 2020, Les mutations de l’accompagnement entrepreneurial, 1 (286), pp.135--151. ⟨10.3166/rfg.2019.00402⟩. ⟨hal-02880083⟩
  • Wilfried Segretier, Martine Collard, Laurent Brisson, Jean-Émile Symphor. Variable optimization for flood prediction. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2011, 16 (3), pp.113-139. ⟨10.3166/isi.16.3.113-139⟩. ⟨hal-00840738⟩
  • Laurent Brisson, Martine Collard. How to Semantically Enhance a Data Mining Process?. Lecture Notes in Business Information Processing, Springer-Verlag, 2009, 13, pp.103-116. ⟨hal-00476279⟩
  • Nicolas Pasquier, Claude Pasquier, Laurent Brisson, Martine Collard. Mining gene expression data using domain knowledge. International Journal of Software and Informatics (IJSI), ISCAS, 2008, 2 (2), pp.215-231. ⟨hal-00361427⟩

Book sections4 documents

  • Alya Itani, Laurent Brisson, Serge Garlatti. Understanding Learner’s Drop-Out in MOOCs. Yin Hujun; Camacho David; Novais Paulo; Antonio J; Tallón-Ballesteros. Intelligent Data Engineering and Automated Learning -- IDEAL 2018, Springer International Publishing, pp.233-244, 2018, Lecture Notes in Computer Science book series (LNCS, volume 11314), 978-3-030-03493-1. ⟨10.1007/978-3-030-03493-1_2525⟩. ⟨hal-01953030⟩
  • Emilien Gauthier, Laurent Brisson, Philippe Lenca, Stéphane Ragusa. A Nearest Neighbor Approach to Build a Readable Risk Score for Breast Cancer. Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock, Gary M. Weiss. Real World Data Mining Applications, 17, Springer, pp.249 - 269, 2015, Annals of Information Systems, 978-3-319-07811-3. ⟨10.1007/978-3-319-07812-0_13⟩. ⟨hal-01185081⟩
  • Laurent Brisson, Martine Collard. How to semantically enhance a data mining process?. Enterprise information systems, 19, Springer Berlin Heidelberg, pp.103 - 116, 2009, Lecture Notes in Business Information Processing, 978-3-642-00669-2. ⟨10.1007/978-3-642-00670-8_8⟩. ⟨hal-02121061⟩
  • Laurent Brisson. Knowledge extraction using a conceptual information system (ExCIS). Ontologies-based databases and information systems, 4623, Springer Berlin / Heidelberg, pp.119 - 134, 2007, Lecture notes in computer science (LNCS), 978-3-540-75473-2. ⟨10.1007/978-3-540-75474-9_8⟩. ⟨hal-02281800⟩

Theses1 document

  • Laurent Brisson. Intégration de connaissances expertes dans le processus de fouille de données pour l'extraction d'informations pertinentes. Interface homme-machine [cs.HC]. Université Nice Sophia Antipolis, 2006. Français. ⟨tel-00211946⟩